Vibhansh Gupta is an MLOps-focused machine learning engineer with 7 years of experience building and productionizing ML systems across cloud-native stacks (GCP, AWS, Databricks, BigQuery) and frameworks like PyTorch, TensorFlow and scikit-learn. He has led MLOps for client projects, developed CI/CD and deployment pipelines, and cut backend team effort by 50% through automation of CI/CD and DB workflows. Comfortable across FastAPI, PySpark, NoSQL and orchestration tools, he pairs research-driven model work (including implementing PEGASUS for paraphrasing) with pragmatic infrastructure delivery. Based in Canberra and pursuing a master’s in Machine Learning, he also pursues curiosities in astronomy and quantum computing outside work, reflecting a habit of cross-disciplinary learning that informs his engineering.
6 years of coding experience
4 years of employment as a software developer
Australian National University
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Shri Mata Vaishno Devi University
High School Diploma, Mathematics and Physics, High School Diploma, Mathematics and Physics at Army Public School Kaluchak
Files and code used for my project to classify the various types of Galaxies. See the 'Projects' tab for more information.
Contributions:1 PR, 15 pushes, 1 branch in 1 year 8 months
galaxiesclassifypythonmachine-learning
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